Next-Generation Computational Approaches for Biological Network Analysis by Hamza Ali Mari, Maham Taqi, Abrar Ahmed Rattar, Ahsan Jamal Memon, Muhammad Talha Nasir, Arleen Yousuf

“…Machine learning methods, such as supervised and unsupervised models, neural networks, and deep learning, increasingly contribute to improving PPI predictions. …”
Get full text

Precision Denoising in Medical Imaging via Generative Adversarial Network-Aided Low-Noise Discriminator Technique by Turki M. Alanazi, Paolo Mercorelli

Get full text

The domain-general and domain-specific role of the semantic neural network in mathematical processing by Mengyi Li, Xinlin Zhou

Get full text

Loan classification using a feed-forward neural network by U. I. Behunkou

Get full text

Generative adversarial networks with texture recovery and physical constraints for remote sensing image dehazing by Yanfei Jia, Wenshuo Yu, Liquan Zhao

Get full text

Development of a Multifunctional Mobile Manipulation Robot Based on Hierarchical Motion Planning Strategy and Hybrid Grasping by Yuning Cao, Xianli Wang, Zehao Wu, Qingsong Xu

“…To realize navigation and collision avoidance in complex environments, a new hierarchical motion planning strategy is proposed by fusing global and local planners. Control Lyapunov Function (CLF) and Control Barrier Function (CBF) are employed to realize path tracking and to guarantee safety during navigation. …”
Get full text

Molten Pool Image Segmentation Based on Adaptive Multi-Scale Attention Mechanism by Yuefeng Chen, Weihua Liu, Qing Yang, Huabin Chen, Qi Jiang

Get full text

ϵ-Confidence Approximately Correct (ϵ-CoAC) Learnability and Hyperparameter Selection in Linear Regression Modeling by Soosan Beheshti, Mahdi Shamsi

“…<inline-formula> <tex-math notation="LaTeX">$\epsilon $ </tex-math></inline-formula>-CoAC learnability is able to validate the learning process as a function of training data sample size, as well as a function of the hypothesis class complexity order. …”
Get full text

A Systematic Review of Surface Electromyography in Sarcopenia: Muscles Involved, Signal Processing Techniques, Significant Features, and Artificial Intelligence Approaches by Alessandro Leone, Anna Maria Carluccio, Andrea Caroppo, Andrea Manni, Gabriele Rescio

Get full text

Extreme outage prediction in power systems using a new deep generative Informer model by Razieh Rastgoo, Nima Amjady, Syed Islam, Innocent Kamwa, S.M. Muyeen

“…In addition, a new classification-specific loss function is proposed for the minimax objective function of the Vanilla Generative Adversarial Network to improve the prediction performance in the latent space. …”
Get full text

An intelligent prediction method of gas concentration in coal mines based onimproved TCN-TimeGAN by Qingsong HU, Shuo ZHENG, Shiyin LI, Yanjing SUN

“…In the design of loss function, Wasserstein distance is used to measure the distribution of gas data, and the gradient penalty term of adaptive weight is added to the identification network loss function, so as to solve the problems of data irregularity and gradient disappearance, and improve training stability and prediction accuracy. …”
Get full text

A Novel Attention-Guided Enhanced U-Net With Hybrid Edge-Preserving Structural Loss for Low-Dose CT Image Denoising by Muhammad Zubair, Helmi Md Rais, Talal Alazemi

Get full text

Digital core reconstruction of tight carbonate rocks based on SliceGAN by Ying Zhou, Taiping Zhao, Wenjing Zhang, Feiqi Teng, Xin Nie

Get full text

SFDA-MEF: An Unsupervised Spacecraft Feature Deformable Alignment Network for Multi-Exposure Image Fusion by Qianwen Xiong, Xiaoyuan Ren, Huanyu Yin, Libing Jiang, Canyu Wang, Zhuang Wang

“…We also design a feature point extraction loss function to render our output more conducive to subsequent IOS tasks. …”
Get full text

CA-STIM: an interpolation model with spatio-temporal evolution characteristics and cross-attention mechanism for 2D island morphology sequences by Peng Zhang, Wenzhou Wu, Shaochen Shi, Fengyu Li, Fenzhen Su

Get full text

ARTIFICIAL INTELLIGENCE FROM THE POSITION OF MIND SCHEME by Evgeniy V. Asaulenko

Get full text

Design and content perculiarities of the course ‘french for specific purposes’ in the technical university by Tatiana A. Fedorova

Get full text

IECAU-Net: A Wood Defects Image Segmentation Network Based on Improved Attention U-Net and Attention Mechanism by Yingda Dong, Chunguang He, Xiaoyang Xiang, Yuhan Cui, Yongkang Kang, Anning Ding, Huaqiong Duo, Ximing Wang

“…The ECA module was introduced in the skip connection part, and the weighted fusion multi loss function was used instead of the original cross entropy loss function. …”
Get full text

NeuroScale: evolutional scale-based protein language models enable prediction of neuropeptides by Hongqi Zhang, Shanghua Liu, Wei Su, Xueqin Xie, Junwen Yu, Fuying Dao, Mi Yang, Hao Lyu, Hao Lin

“…By providing a scalable and efficient deep learning framework, NeuroScale paves the way for future research in neuropeptide function, disease mechanisms, and therapeutic applications.…”
Get full text

ITD-YOLO: An Improved YOLO Model for Impurities in Premium Green Tea Detection by Zezhong Ding, Yanfang Li, Bin Hu, Zhiwei Chen, Houzhen Jia, Yali Shi, Xingmin Zhang, Xuesong Zhu, Wenjie Feng, Chunwang Dong

Get full text